A framework for elegantly configuring complex applications.

Check the website for more information,
or click the thumbnail below for a one-minute video introduction to Hydra.

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Releases

Stable

Hydra 1.3 is the stable version of Hydra.

• Documentation
• Installation : pip install hydra-core --upgrade

License

Hydra is licensed under MIT License.

Hydra Ecosystem

Check out these third-party libraries that build on Hydra's functionality:

• hydra-zen: Pythonic utilities for working with Hydra. Dynamic config generation capabilities, enhanced config store features, a Python API for launching Hydra jobs, and more.
• lightning-hydra-template: user-friendly template combining Hydra with Pytorch-Lightning for ML experimentation.
• hydra-torch: configen-generated configuration classes enabling type-safe PyTorch configuration for Hydra apps.
• NVIDIA's DeepLearningExamples repository contains a Hydra Launcher plugin, the distributed_launcher, which makes use of the pytorch distributed.launch API.

Ask questions in Github Discussions or StackOverflow (Use the tag #fb-hydra or #omegaconf):

• Github Discussions
• StackOverflow
• Twitter

Citing Hydra

If you use Hydra in your research please use the following BibTeX entry:

@Misc{Yadan2019Hydra,
  author =       {Omry Yadan},
  title =        {Hydra - A framework for elegantly configuring complex applications},
  howpublished = {Github},
  year =         {2019},
  url =          {https://github.com/facebookresearch/hydra}
}